|本期目录/Table of Contents|

[1]李长圣,尹宏伟*,刘 春,等.共享内存式并行离散元程序的设计与测试[J].南京大学学报(自然科学),2017,53(6):1161.[doi:10.13232/j.cnki.jnju.2017.06.018]
 Li Changsheng,Yin Hongwei*,Liu Chun,et al. Design and test of parallel discrete element method program of shared memory type[J].Journal of Nanjing University(Natural Sciences),2017,53(6):1161.[doi:10.13232/j.cnki.jnju.2017.06.018]





 Design and test of parallel discrete element method program of shared memory type
 李长圣尹宏伟*刘 春蔡申阳
 Li ChangshengYin Hongwei*Liu ChunCai Shenyang
 School of Earth Sciences and Engineering,Nanjing University,Nanjing,210023,China
 DEMOpenMPdata structureneighbor searchsolid lattice modeluniaxial tests
 With the help of such date structure and changing the neighbor search algorithm based on grid,the lock-free parallel computing of discrete element method was achieved,and an efficient program of discrete element method was written in the C language.As a test case,a rock specimen was simulated under uniaxial compression by using the solid lattice model,and the entire process of shear failure was observed.The parallel test results showed that the speedup ratio basically remained unchanged when the number of particles reached tens of thousands or more.It reflected the phenomenon that the speedup of parallel has nothing to do with the scale of the problems.The parallel efficiency was about 0.85 and the time costs linear increases with the increase of number of particles,when we used four threads.The parallel computing of discrete element method was realized based on procedure-oriented language,which could make full use of existing multi-core resources and improve computing speed greatly and be useful to simulate the complex geotechnical engineering and geological model required more particles.


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更新日期/Last Update: 2017-11-28